80 high-performance-computing Postdoctoral positions at Conservatorio di Musica "Santa Cecilia"
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Skip to main content Recruit Home Open Recruitments Postdoc-UCSB Physics Dept. (Experimental High Energy Physics on CMS Experiment)/Richman Research Group (JPF02921) Postdoc-UCSB Physics Dept
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Planetary Health (HPH) (link is external) and Project Unleaded (link is external) for an exciting postdoctoral fellowship that contributes to a high-impact global program with a mission to create a
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for Human and Planetary Health (HPH) (link is external) and Project Unleaded (link is external) for an exciting postdoctoral fellowship that contributes to a high-impact global program with a mission to
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to provide a full-time training program of advanced academic preparation and research training under the mentorship of a faculty member. Applications are welcome from all areas of theoretical physics, broadly
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(100% FTE), 12-months/year, with an initial term appointment of ~4 years (48 months), renewable depending on funding and/or satisfactory performance. Start date The start date is negotiable and the
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Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Fondo IPCEI ME/CT – Microelectronics - Continuation ID: IPCEI-M2 0000006
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optimization problems—often NP-hard and extremely difficult to solve at scale. These problems arise in diverse, high-impact domains, including renewable energy management, healthcare resource allocation, and
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genomics and single-cell spatial transcriptomics, participate in T cell-targeted therapy development, hone their computational, leadership, communication, and funding acquisition skills, and join the vibrant
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Science. Proficiency in programming (Python, Julia), and high-performance computing (provide evidence with specific examples) Ability to work independently and collaboratively. Strong written and oral
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research in ML for Health, including HIPAA-compliant compute infrastructure with high memory GPUs and access to Stanford Healthcare data, which includes EHRs for over 5M patients and 100M clinical notes